Borrowing it
Nothing to install: this file belongs to mickeytony0215-png/obsidian-llm-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mickeytony0215-png/obsidian-llm-wiki/main/.claude/commands/paper-summary.mdgit clone --depth 1 https://github.com/mickeytony0215-png/obsidian-llm-wikiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/mickeytony0215-png/obsidian-llm-wiki/paper-summary)<a href="https://agentmods.dev/commands/mickeytony0215-png/obsidian-llm-wiki/paper-summary"><img src="https://agentmods.dev/badge/commands/mickeytony0215-png/obsidian-llm-wiki/paper-summary/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/mickeytony0215-png/obsidian-llm-wiki/paper-summary"><img src="https://agentmods.dev/badge/commands/mickeytony0215-png/obsidian-llm-wiki/paper-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00349 |
| Opus 5 | $0.00008 | $0.00175 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
paper-summary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Review-gate check (soft)
Before running, check review_status:
unreviewed: warn — "This note has not been audited. The summary may inherit errors. Running/review-notefirst is recommended. Continue?"- If the user continues, prepend to the summary:
> [UNREVIEWED] This summary is produced from an unreviewed note and may contain errors. After review, this banner can be removed.
- If the user continues, prepend to the summary:
disputed: continue, but prepend:> [DISPUTED] This paper has known concerns (see review_notes). The summary is for reference only.reviewed/reviewed_with_notes: run normally
Note: this skill must not change review_status (only /review-note can do that). If you encounter content that disagrees with the PDF while running, mark the passage with [VERIFY] in the note and notify the user.
Main flow
Analyze the paper note I have open and fill in the following sections:
- Research question — one paragraph: what problem does this paper solve?
- System model / scenario assumptions — list the key assumptions
- Proposed method — describe the core algorithm / framework
- Key technical details — formulas and optimization objective
- Strengths and weaknesses — give concrete critique, not "room for improvement"
- Relation to my research — connect to the user's domain from SKILL.md
Use the output language specified in SKILL.md (keep technical terms in their original form). Write directly into the note's corresponding sections.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 29 lines · 16 tokens per session scan A 5156655c8bd0
paper-summary is a command published in the GitHub repository mickeytony0215-png/obsidian-llm-wiki (2 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 349 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
daily-okr
Run a daily knowledge compound loop (7 KR). Invoke with /daily-okr or "start my daily review".
session-learn
Extract knowledge from the current session. Invoke with /session-learn or "extract this session".
status
Show memex statistics and status including projects, memos, and pending items.
open
Open the memex vault in Finder or Obsidian.
okf
A command that exports a private knowledge wiki into an OKF-compatible bundle. OKF is a format for packaging knowledge, with a separate guarded mode for preparing material to share externally.
ingest
A command for adding information to a file-based knowledge wiki from web pages, files, or text notes. It classifies the material, updates or creates wiki pages, and adds links between related pages.